Spatial Concept Formation-based Semantic Mapping

Abstract

This paper propose a new statistical semantic mapping method called SpCoMapping, which integrates probabilistic spatial concept acquisition and simultaneous localization and mapping via Markov random field to yield semantic information. Using a simulation environment, we compared in an experiment SpCoMapping with other previously proposed methods. We show that our method can generate better semantic maps than CNN-based semantic mapping and spatial concept formation.